41 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "UNIV" "UNIV" positions at University College London in United Kingdom
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• Enhanced maternity, paternity and adoption pay • Employee assistance programme: Staff Support Service • Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out
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programme: Staff Support Service • Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. As London’s Global University, we know diversity fosters
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and non-clinical postdoctoral scientists interested in developing their own research programme, in partnership with your sponsor, focused on elucidating molecular and biological mechanisms underlying
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. Responsibilities include supervising complex clinical procedures for students in the MClinDent Periodontology programme, teaching and developing materials for the distance-learning MSc Periodontology, contributing
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season ticket loan Immigration loan Relocation scheme for certain posts On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service
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assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. As London’s Global University, we know diversity fosters
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posts On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl
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project Successful applicants will work with the programme coordinator to identify a project and a supervisory team working with academics and clinical scientists from UCL and UCLH. The projects will cover
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the Institute of Health Informatics. The studentships will commence from Oct 2026. About the project Successful applicants will work with the programme coordinator to identify a project and a supervisory team
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and organising it manually.Recent developments in audio recognition and computer vision, could potentially help create new catalogue metadata automatically, which could be structured and linked in